Best of Sabermetrics: May 2010
Sure, we've missed a few months, but it's never too late to jump back on the horse. This thread is for two things:
- Sharing any links published since February that are worth remembering for the year-end Saber Awards.
- Sharing any new links throughout the month of May that are worth reading (and thus thus remembering for the year-end Saber Awards.)
Hopefully we'll remember to start a new thread for June. This one will be anchored in the Featured Stories widget in the right sidebar until then, for easy reference. Link away!
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Swartz n’ Seidman’s five-part SIERA series. Here’s part one:
http://www.baseballprospectus.com/article.php?articleid=10027
by Crashburn Alley on May 1, 2010 12:16 PM EDT reply actions
I we’re not voting yet, but SECOND!
Beyond the Box Score / Capitol Avenue Club / shwitter: @CapitolAvenue
Thawing out frozen ropes, by Colin Wyers
http://www.baseballprospectus.com/article.php?articleid=10523
Examining biases in batted ball classifications.
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Hitter scouting reports, by Sky Andrecheck
http://baseballanalysts.com/archives/2010/03/hitter_scouting.php
“Looking at the evidence, it appears that when trying to identify a hitter’s strengths and weaknesses against particular pitches, looking at how he actually did against those pitches is not a particular useful measure. More indicative is the frequency which a batter was thrown each pitch. The better a hitter is against a particular pitch, they less often he will see it.”
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Throw your calculators away, by Morgan Ensberg
http://morganensberg.wordpress.com/2010/03/23/you-can-throw-your-calculators-away/
I thought it was a very helpful commentary/opinion piece, and we have a category for those, too, right?
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Using spray charts to examine wrist injuries, by Jeff Zimmerman
http://www.beyondtheboxscore.com/2010/3/18/1379187/using-spray-charts-to-examine
Looking to see if a hitter can pull the ball with power as an indicator of recovery from a wrist injury.
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Maybe not so misplaced after all?
You can convince yourself of anything if the sample size is small enough. :)
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Ball-in-play mapping tool, by Sean Kelly
http://katron.org/projects/baseball/hit-location/
for the resources category
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Improving pitcher projections, by John R. Mayne
http://www.hardballtimes.com/main/content/article/improving-pitcher-projections/
Looking at fastball velocity to find pitchers likely to exceed or fail to fulfill their CHONE projections.
Winner, Beyond the Box Score 32 Predictions Contest, 2009
State of sabermetrics: Insights from the 2010 Sloan Sports Analytics Conference, by Sal Baxamusa
very good commentary
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Statistical significance is only one piece of evidence, by Phil Birnbaum
http://sabermetricresearch.blogspot.com/2010/03/statistical-significance-is-only-one.html
Good tutorial/education piece on drawing statistical conclusions in baseball.
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Prospect prizefights, by Jeff Sackmann
http://www.hardballtimes.com/main/article/prospect-prizefights/
and the companion article: “Mano a mano”
http://www.hardballtimes.com/main/article/mano-a-mano/
“What is more indicative of future professional success: a relatively large sample against lower-quality competition, or a relatively small sample against higher-quality competition?”
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Tangotiger v Rodney Fort
http://www.insidethebook.com/ee/index.php/site/article/tangotiger_v_rodney_fort/
A discussion about the meaning of replacement value in terms of economics
Winner, Beyond the Box Score 32 Predictions Contest, 2009
This was very interesting,
at least for a pseudo-economist. I couldn’t help but feel that Tango dominated.
Do we have a painting category?
http://www.3-dbaseball.net/2010/03/christy-mathewson-painting.html
:)
Winner, Beyond the Box Score 32 Predictions Contest, 2009
That was awesome, one of the coolest non-stats baseball links I've ever come across.
Beyond the Box Score Not a member of our saber-slanted community? Sign up here.
the Oliver projection system is certainly worthy of something
http://www.hardballtimes.com/main/article/introducing-oliver/
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Dave Allen's series on Chipper Jones and first pitch swinging
http://www.fangraphs.com/blogs/index.php/chipper-first-pitches-and-saber-mided-reporting/
http://www.fangraphs.com/blogs/index.php/17131/
http://www.fangraphs.com/blogs/index.php/are-ahitters-more-aggressive-on-first-pitches-from-good-pitchers
http://www.fangraphs.com/blogs/index.php/a-last-look-at-first-pitch-aggressiveness/
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Great insight here.
I think that the game theory dynamics of the hitter-pitcher confrontation are ripe for a seminal research piece.
Okay, I'll stop for now.
Sky, do you have a link to the February list?
Did we get Josh’s player injury database on that list?
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Here you go:
http://www.beyondtheboxscore.com/2010/2/5/1296059/best-of-sabermetrics-january-2010
(These, plus any other type of linkage articles will be in the “Best of Sabermetrics” section linked in the front page sidebar and just below the title of this post.)
And thanks for all those, Mike. Did you have those bookmarked, or just remember them all?
Beyond the Box Score Not a member of our saber-slanted community? Sign up here.
I looked through my Twitter feed to see what I'd rec'd there
Plus I browsed back through a few of my favorite sites and authors to refresh my memory.
Winner, Beyond the Box Score 32 Predictions Contest, 2009
"How Much Do We Really Know About The Strike Zone?" by Dan Turkenkopf
Vitally important to look at as we attempt to advance the quality of Pitch F/X analysis and expand its applications. A frustrating reality check.
I think the concept of checking on the strike zone is good
I have a lot of doubts about Dan’s methodology and implementation, however.
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Eh. That perhaps comes off more negatively than I meant it to.
I think Dan’s article was a good starting point.
Winner, Beyond the Box Score 32 Predictions Contest, 2009
I don't know nearly as much about Pitch F/X as you do, so I'll defer to your judgment.
I would be very interested to see a similar study from you with your preferred methodology and implementation at some point. No pressure, I just love your work.
I have doubts about my methodology and implementation too :)
What specifically jumps out at you?
by Dan Turkenkopf on May 3, 2010 5:15 AM EDT up reply actions
Well
I’m concerned first that if there is a park-to-park difference in the overall percentage of called strikes, this might affect your numbers, and secondly that you’re giving equal weight to all “missed” calls outside a given rectangle, which could be VERY sensitive to noise, and thirdly that I couldn’t figure out what the park factor number you come up with means (either physically or in terms of adjusting something by a percentage).
I like Ike Hall’s approach from the 2008 summit better.
Winner, Beyond the Box Score 32 Predictions Contest, 2009
I don't think the overall called strike percentage is going to matter since this was all relative to % of called pitches
But maybe I’m missing something.
The equal weight thing theoretically should average out over some period of time – whether that’s longer than a few years is a good question though.
And the park factor is just like a run park factor – a park factor of 50 means that the net number of missed pitches that were strikes was twice the league average. Park Factor is (roughly) : (AS-AB)/ACP / (HS-HB)/HCP plus adjustments.
The reason this should work out (I think) is that I used John Walsh’s strike zones which were set at essentially the “median” – where 50% of the pitches are called strikes and 50% are called balls.
I’m not familiar with Ike’s approach (or if I am, I’ve forgotten it). Do you have a link?
by Dan Turkenkopf on May 4, 2010 12:05 PM EDT up reply actions
Ike's presentation is in the zip file here
http://baseball.sportvision.com/summit/2008
By called strike percentage, I meant called strikes as a percentage of called pitches. I assume that varies by park, although I don’t know how the random variation compares to the systematic variation, if any. But if there is systematic variation, it seemed to me like this would bias your results.
Winner, Beyond the Box Score 32 Predictions Contest, 2009
Quantifying Catchers' Defense
by my co-author Mike Rogers
http://www.blessyouboys.com/2010/4/27/1445619/quantifying-catchers-the-best-and
A few pieces from Phil
More pitching randomness than just DIPS — http://sabermetricresearch.blogspot.com/2010/01/more-pitching-randomness-than-just-dips.html
Why teams pay equal prices for free agents — http://sabermetricresearch.blogspot.com/2010/04/why-teams-pay-equal-prices-for-free.html
The marginal value of a win in baseball — http://sabermetricresearch.blogspot.com/2010/04/marginal-value-of-win-in-baseball.html
Why teams pay equal prices for free agents, Part II — http://sabermetricresearch.blogspot.com/2010/04/why-teams-pay-equal-prices-for-free_28.html
Beyond the Box Score / Capitol Avenue Club / shwitter: @CapitolAvenue
Another good article by Phil
Why are Yankees Red Sox Games so Slow? - http://sabermetricresearch.blogspot.com/2010/04/why-are-yankeesred-sox-games-so-slow.html
Lidge's pitches, by Jeremy Greenhouse
http://baseballanalysts.com/archives/2010/05/brad_lidges_out.php
Analyzes how Lidge uses the fastball to set up for a strikeout with the slider.
Winner, Beyond the Box Score 32 Predictions Contest, 2009

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